KIOXIA America, Inc. (formerly Toshiba Memory America, Inc.), the U.S.-based subsidiary of KIOXIA Corporation, has added thin provisioning to its KumoScale™ storage software based on NVM Express™ over Fabrics (NVMe-oF™) technology. Thin provisioning joins KumoScale software’s growing list of advanced storage functions that allow for the virtualization and management of high-performance flash at data center scale.
KIOXIA Adds Thin Provisioning to KumoScale Software Suite, Increases Cloud Storage Efficiency
June 5, 2020 by Leave a Comment
Infinidat De-risks Storage Infrastructure with New Offerings and Support for NVMe over Fabrics
May 29, 2020 by Leave a Comment
Infinidat, a leading provider of multi-petabyte data storage solutions, announced new offerings that reduce storage infrastructure costs, mitigate the risks of technology failures and deficits, and add an extensible NVMe over Fabrics option. These offerings and functional enhancements will provide new and existing customers more flexibility in managing their high-end storage infrastructure while lowering the cost and risk associated with meeting enterprise service level objectives.
Barcelona Supercomputing Centre to Optimize Storage and Data Analysis with PPI4HPC
April 6, 2020 by
The Barcelona Supercomputing Center (BSC) will provide a new storage infrastructure for enhanced data analysis capabilities thanks to the PPI4HPC (Public Procurement of Innovations for High Performance Computing). “The proposed infrastructure includes a disk tier built on all-flash technology and spinning disk drives. It changes the way underlying physical drives are managed, accessed and rebuilt in case of failures in order to minimize the impact to the scientific applications. It is a High-Performance Analytics compute infrastructure to run data analytics operations with the latest Power microprocessors and NVMe PCIe local storage to accelerate the workloads.”
Reflecting on 10 Years of Active Archive
February 3, 2020 by
In this special guest feature, Molly Presley from the Active Archive Alliance reflects on how the unstructured data storage industry has evolved and the implications for active archives. “We now have software that allows us to extract data from the archive for things like analytics, artificial intelligence, and machine learning, so it adds more value and usability to archived data. And, many of the applications and processes can now be automated through APIs and CLIs to make it easy to automate common tasks and integrate with upstream applications.”
Top Data Storage Predictions for 2020
January 29, 2020 by
Today Qumulo announced its 2020 data storage predictions. Qumulo’s predictions are guided by the enterprise’s realization that legacy scale-out and scale-up NAS storage solutions were not designed to handle today’s unstructured data volumes, distributed geographies and diverse file types. In 2020, enterprise organizations will focus on their data-driven businesses, rather than on managing their storage.
Call for Papers: MSST 2020 Mass Storage Conference in Santa Clara
January 13, 2020 by
The MSST 2020 Mass Storage Conference has issued its Call for Papers. The event will be held May 4-8, 2020 at Santa Clara University, with the Research Track taking place May 7 and 8. “The conference focuses on current challenges and future trends in storage technologies. MSST 2020 will include a day of tutorials, two days of invited papers, and two days of peer-reviewed research papers. The conference will be held, once again, on the beautiful campus of Santa Clara University, in the heart of Silicon Valley.”
Aldec’s new FPGA-based NVMe Data Storage Targets HPC Applications
December 15, 2019 by
Today Aldec, Inc. launched a powerful, versatile and time-saving FPGA-based NVMe Data Storage solution to aid in the development of High Performance Computing applications such as High Frequency Trading and Machine Learning. “NVMe SSDs are very popular in a wide range of high-performance computing applications, as are FPGAs because of their ability to handle parallel processing, their speed and programmability, plus the fact MPSoC FPGAs also feature ARM processor cores,” comments Louie De Luna, Director of Marketing. “Our newest FPGA-based embedded solution is aimed at engineers developing systems that will combine the power and benefits of NVMe and FPGAs.”
Innoviz to Accelerate AI for Autonomous Vehicles with WekaIO
December 11, 2019 by
Today WekaIO announced that Innoviz, a leading manufacturer of high-performance, solid-state Light Detection and Ranging (LiDAR) sensors and Perception Software that enables the mass-production of autonomous vehicles, has selected the Weka File System (WekaFS) to accelerate its Artificial Intelligence (AI) and deep learning workflows. WekaFS has been chosen by Innoviz to improve application performance at scale and deliver high bandwidth I/O to its GPU cluster.
Kingston and Madison Cloud Showcase Private MultiCloud Storage for HPC at SC19
November 20, 2019 by
Kingston is demonstrating its latest DRAM and NVMe PCIe Flash solutions for HPC at SC19 this week. The company will showcase the consistent data performance and reliability of its forthcoming DC1000M U.2 NVMe SSD, purpose-built for data-intensive enterprise workloads and HPC architectures at the forefront of new AI and machine learning applications. “We are proud to share how Kingston’s solutions are an integral part of the stack behind the next breakthroughs in computing, providing the performance required in the world’s most extreme computing environments and applications.”
Panasas to Showcase “Fastest HPC Parallel File System at any Price-Point” at SC19
November 13, 2019 by
“The next generation of PanFS on ActiveStor Ultra offers unlimited performance scaling in 4 GB/s building blocks, utilizing multi-tier intelligent data placement to maximize storage performance by placing metadata on low-latency NVMe SSDs, small files on high IOPS SSDs and large files on high-bandwidth HDDs. The system’s balanced node architecture optimizes networking, CPU, memory and storage capacity to prevent hot spots and bottlenecks, ensuring consistently high performance regardless of workload.”
